Discover how to handle many files at once without messy code!
Why Multiple file uploads in FastAPI? - Purpose & Use Cases
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Imagine you want users to send several photos at once through a web form, but you have to handle each file separately in your code.
Manually processing each file one by one means writing repetitive code, increasing chances of mistakes, and making your app slower and harder to maintain.
FastAPI lets you accept multiple files easily with a simple parameter, automatically handling the uploads and letting you focus on what to do with the files.
async def upload(file1: UploadFile, file2: UploadFile): content1 = await file1.read() content2 = await file2.read() # process files separately
async def upload(files: List[UploadFile]): for file in files: content = await file.read() # process each file in a loop
You can build smooth user experiences that accept many files at once without complicated code.
Think of a photo-sharing app where users upload dozens of pictures in one go, and your backend handles them all effortlessly.
Manual file handling is repetitive and error-prone.
FastAPI simplifies multiple file uploads with a single parameter.
This makes your code cleaner and your app more user-friendly.
Practice
Solution
Step 1: Understand FastAPI file upload types
FastAPI uses UploadFile to handle file uploads efficiently.Step 2: Use List for multiple files
To accept multiple files, you wrap UploadFile in a List and use File(...) to declare it as a file input.Final Answer:
List[UploadFile] with File(...) -> Option BQuick Check:
Multiple files = List[UploadFile] [OK]
- Using UploadFile without List for multiple files
- Using List[str] which expects strings, not files
- Confusing str type with file uploads
Solution
Step 1: Check parameter type for multiple files
Multiple files require List[UploadFile] type hint.Step 2: Use File(...) to mark as file input
File(...) is needed to tell FastAPI this is a file upload field.Final Answer:
files: List[UploadFile] = File(...) -> Option AQuick Check:
Multiple files syntax = List[UploadFile] = File(...) [OK]
- Using UploadFile without List for multiple files
- Using List[str] which is incorrect for files
- Assigning UploadFile(...) instead of File(...)
from fastapi import FastAPI, File, UploadFile
from typing import List
app = FastAPI()
@app.post('/upload')
async def upload(files: List[UploadFile] = File(...)):
return {"filenames": [file.filename for file in files]}Solution
Step 1: Understand the endpoint logic
The endpoint returns a dictionary with a list of filenames extracted from the uploaded files.Step 2: Check the uploaded files names
Two files named 'a.txt' and 'b.txt' are uploaded, so their filenames will be returned in the list.Final Answer:
{"filenames": ["a.txt", "b.txt"]} -> Option AQuick Check:
Returned filenames list matches uploaded files [OK]
- Expecting file content instead of filenames
- Confusing parameter name with file names
- Assuming empty list if files uploaded
from fastapi import FastAPI, File, UploadFile
from typing import List
app = FastAPI()
@app.post('/upload')
async def upload(files: UploadFile = File(...)):
return {"count": len(files)}Solution
Step 1: Check parameter type for multiple files
The parameter 'files' is typed as UploadFile, which accepts only one file.Step 2: Correct type for multiple files
To accept multiple files, it must be List[UploadFile].Final Answer:
files should be List[UploadFile] to accept multiple files -> Option DQuick Check:
Multiple files need List[UploadFile] type [OK]
- Using UploadFile instead of List[UploadFile] for multiple files
- Confusing File(...) with UploadFile(...)
- Forgetting async keyword (though present here)
Solution
Step 1: Accept multiple files with correct type
Use List[UploadFile] with File(...) to accept multiple files.Step 2: Read each file content to get size
Use await file.read() to get bytes, then len() to get size.Step 3: Return list of dicts with name and size
Build a list of dictionaries with filename and size for each file.Final Answer:
Code snippet that correctly reads files and returns name and size -> Option CQuick Check:
Read files async, return name and size list [OK]
- Using UploadFile without List for multiple files
- Trying to get size without reading file content
- Using wrong attribute names like file.name or file.size
